We performed an experiment on a number of blood donors. We took the blood from each donor and divided it into 9 equal volumes. Three of the blood samples from each individual were left as controls, three were subjected to treatment A and three to treatment B. We then measured the response in terms of a specific protein or mRNA. This was done for a number of individuals.
We believe this should be done as a two-way repeated measures ANOVA, where treatment (control, Treatment A and treatment b) is one repeated factor and replicate the other. Is this correct? As there are no inherent differences between the three replicates for an individual within a given treatment, we wonder if this affects how to set up the analysis?
Thankful for any help we can get.
Larry Greenberg
http://www.bristol.ac.uk/cmm/ is a good site to go through. Your blood samples are nested within person.
If I understand correctly basically you have two crossed factors individuals (the blood donors) X treatments (control, A and B). At each crossing you have three replicates which are quite identical, if so forget the replications and consider the mean or the actual constant value as only one measurement. If you don't you will get into troubles because of the vanishing residual mean square.
Hello,Larry
You can use general linear mixed model(GLMM) to estimate any within and between effects.
GLMM id more general approach than repeated measures ANOVA .
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